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About the Role:
- Lead the design and evolution of retrieval models and modeling practices.
- Stay close to technical details from data and objective design through model development and launch.
- Mentor ML engineers and help grow the team’s expertise in retrieval and recommendation.
Responsibilities:
- Define technical direction and multi-year roadmap for ads retrieval modeling.
- Design, develop, and launch candidate-generation and retrieval models.
- Establish strong evaluation practices connecting retrieval metrics to ads and user outcomes.
Qualifications:
- 7+ years of industry experience with applied ML products.
- Deep experience with information retrieval, candidate generation, and recommender systems.
- Strong command of experimental design and model evaluation.
Benefits:
- 100% remote opportunity with flexible vacation and paid volunteer time off.
- Comprehensive healthcare benefits and income replacement programs.
- Generous paid parental leave and family planning support.
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